Kernel Adaptive Filtering Toolbox
A Matlab benchmarking toolbox for kernel adaptive filtering
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Kernel adaptive filters are online machine learning algorithms based on kernel methods. Typical applications include time-series prediction, nonlinear adaptive filtering, tracking and online learning for nonlinear regression. This toolbox includes algorithms, demos, and tools to compare their performance.
Cite As
Steven Van Vaerenbergh (2026). Kernel Adaptive Filtering Toolbox (https://github.com/steven2358/kafbox), GitHub. Retrieved .
General Information
- Version 2.0.0.0 (720 KB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 2.0.0.0 | New version and description update. |
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| 1.2.0.0 | edit name |
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| 1.1.0.0 | update logo |
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| 1.0.0.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
